Why the study?
Is the CHADS2 score associated with an ankle-brachial index of <0.9 in patients without atrial fibrillation?
Is the CHADS2 score associated with an ankle-brachial index of <0.9 in patients without atrial fibrillation?
The CHADS2 score is significantly associated with peripheral arterial occlusive disease (ABI <0.9) in patients without atrial fibrillation, suggesting its potential utility for PAOD risk assessment.
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May support CHADS2 for PAD risk assessment in non-AF patients; hypothesis-generating, prospective validation required before clinical use.
AIM: The ankle-brachial index(ABI) is an easy-to-use, non-invasive and reliable diagnostic tool for assessing peripheral arterial occlusive disease(PAOD). The CHADS2(congestive heart failure, hypertension, age ≧75 years, diabetes, prior stroke) score is a simple and popular clinical parameter that is used to assess the risk of stroke in patients with atrial fibrillation (AF). Because all five components of the CHADS2 score are risk factors for PAOD, the score should have a strong correlation with the presence of PAOD. However, there are limited studies regarding the association between the CHADS2 score and PAOD in patients without AF. Therefore, the aim of the present study was to investigate whether the CHADS2 score is positively associated with PAOD in patients without AF. METHODS: A total of 1,320 patients without AF were included in this study. The ABI was measured using an ABI-form device. PAOD was defined as an ABI of <0.9 in either leg. RESULTS: Among the 1,320 subjects (mean age: 60.3±13.4 years), the prevalence of an ABI of <0.9 was 5.7%. A multivariate analysis showed that an increased age(odds ratio [OR], 1.054; p<0.001), decreased estimated glomerular filtration rate (OR, 0.971; p<0.001) and increased CHADS2 score (OR, 1.861; p<0.001) were independently associated with an ABI of <0.9. CONCLUSIONS: Our study demonstrated that the CHADS2 score is significantly associated with an ABI of <0.9 in non-AF patients. Further prospective studies are needed to examine the ability of the CHADS2 score to predict the incidence of PAOD.
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Hsu et al. (2013) studied this question.
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